Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
An AI agent reads your server over the one SSH session you are already watching.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
作者没有在注册中心列出安装信息。请查看下方作者的 README。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 meta-taro 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.39)于今天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Zoo MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
An MCP server that provides access to the Zoo API for various CAD operations and tools.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
*English / 日本語*
Your AI agent and you, looking at the same server, on the same screen, over one SSH connection.
You keep your own SFTP client and your own terminal. The agent works beside you — inside a fence you drew — and every single thing it does scrolls past in your window while it happens.
⚠️ This is alpha. It is in use on production servers (investigating a failed
certificate renewal, restarting pm2, and so on). Installers are published for Windows
(x64 / ARM64) and macOS.
Passing tests does not mean it works as a tool — we shipped a build whose terminal
displayed *not one byte* for three days (Issue #10).
[⬇ Download](https://github.com/meta-taro/sshboard/releases/latest) · Direction · Every decision, with its reasoning
You have a terminal open per host and you are copying the same command into each, watching for the one that fails. sshboard opens one console per connection — or two on the same host, side by side — and the agent can read *all* of them while you work. Not "the agent runs it for you": the agent watches what you are doing and tells you which pane went wrong.
You ask the agent. It reads /etc/postfix/main.cf, checks the service, tails the log — over the same SSH session you are already on, and you see each step as it happens. It cannot run an arbitrary command to do it: there is no `run_command(cmd)` tool.
[Human] $ cd /var/www
[AI] $ df -h Filesystem Size Used Avail Use% Mounted on /dev/vda1 50G 38G 10G 80% / [AI] read /etc/postfix/main.cf (4.1 KB)
The agent may write only inside directories you listed, one connection at a time. The list starts empty, so it cannot write a single byte until you say where. Delete, rename, move, chmod, restart, package installs, sudo — none of them exist for the agent. You are not restricted anywhere.
Install the app, then point your agent at it. There is nothing else to run — the MCP server lives inside the app.
# 1. a throwaway SSH server on your own machine (needs Docker)
sh tools/test-server/up.sh ssh-add tools/test-server/.key
pnpm install pnpm --filter desktop tauri dev
Register 127.0.0.1:2222, user probe, connect, then press Copy the MCP command in the window's title bar and paste it into your agent:
claude mcp add --scope user --transport http sshboard http://127.0.0.1:22022/mcp \
--header "Authorization: Bearer "
Prebuilt installers are on the releases page (Windows x64 / ARM64, macOS Apple Silicon). They are not code-signed, so SmartScreen and Gatekeeper will both stop you the first time.
Every operation, yours and the agent's, lands in one band. You do not have to ask what it did.
![The activity band: one line per operation, with [AI] marking the agent's](site/shots/en/band.png)
When something fails, the same log the agent reads over MCP is on your screen — which stage it reached, why it stopped, and what to do next. It carries no hostnames, no usernames and no secrets.
There are services still running on ordinary shared hosting and VPSes. Maintain one of those *with* an AI agent and this happens every single time:
you : I want to fix this service's config
AI : I can't see the server, so please tell me its state you : (open a terminal, look, paste) AI : now show me that config file too you : (open SFTP, download, paste)
This tool exists to delete that round trip. The agent does not need to *operate* your server. Letting it see is enough.
This is not a tool you drive by clicking buttons. You talk to an AI agent in your terminal, and the agent calls sshboard's built-in MCP server.
you → the AI agent in your terminal: "mail isn't arriving. look into it"
│ │ MCP (inside the app — no extra process) ▼ sshboard ── one SSH ──▶ server │ (sftp / exec) ▼ an [AI] line scrolls past in sshboard's window ── you are just watching. what it read and what it typed is visible as it happens
[Human] $ cd /var/www [AI] $ df -h Filesystem Size Used Avail Use% Mounted on /dev/vda1 50G 38G 10G 80% / [AI] read /etc/postfix/main.cf (4.1 KB)
You are not restricted. The two-pane file browser and the terminal tab work like any other SFTP client and terminal. Only the agent's side is fenced.
list_connections / list_directory / stat / read_file / search / download / disk_usage / process_list / service_status / runtime_versions / read_log / network_listen / run_readonly (allowlist) / list_checks / run_check / propose_check (health checks)
There is no `run_command(cmd)`. One such tool does everything, and once you have it the only thing standing between an agent and a destructive command is a promise not to use it. A promise is a runbook, not a gate.
With run_readonly the agent may pass only an id that a person wrote into `readonly.toml`. There is no argument slot. The list ships empty — until you write it, nothing runs at all. Refusals show up in the window's activity band and are recorded in readonly-refused.log. Adding entries is a person's job.
The agent stops saying "please tell me the state of the server."
Not downloads, not stars. Whether the round trip disappeared during real maintenance.
┌──────────┬──────────┐ ┌──────────┐
│ files │ terminal │ │ MCP │ │ two-pane │ tab │ │ │ └────┬─────┴────┬─────┘ └────┬─────┘ └──────────┴───────┬───────────┘ ▼ ┌────────────────────────┐ │ Operation Engine │ ← exactly one implementation lives here └───────────┬────────────┘ ▼ one SSH connection (sftp / exec)
We do not keep two SFTP implementations, and we never open an SSH session you cannot see. Being invisible is the single biggest danger here.
Whoever touched what flows into the same band. Different surfaces, one record.
[Human] $ cd /var/www
[AI] $ df -h Filesystem Size Used Avail Use% Mounted on /dev/vda1 50G 38G 10G 80% / [AI] read /etc/postfix/main.cf (4.1 KB)
No writes at all. Every intended use — incident triage, mail-config investigation, writing up a proposal — is reading. That makes the risk close to zero, which means you can point it at a live production server on day one.
run_command(cmd)Put one arbitrary-command tool in place and it can do everything. That is exactly why it does not exist.
readonly.toml looks like (a person writes it)version = 1
[[command]] id = "uptime" # the only value the agent may pass run = "uptime" # what actually runs. exactly what a person wrote description = "how long it has been up"
The product ships with zero entries. Nobody has the list of what real maintenance needs, and filling it in by guesswork gets it wrong. Refused calls pile up in readonly-refused.log — read that, and add only what was genuinely needed.
What this cannot verify: whether the run you wrote is truly read-only. The product cannot know. No machine can tell uptime from rm -rf / by inspection. What this prevents is exactly one thing: the agent composing a command string.
The human side (the GUI) is not restricted. Use it as an ordinary SFTP client and terminal. Only the agent's side is fenced.
checks.toml)Group the things you look at in the same order every time — disk, memory, a service, a listening port — into one check. Write it once; a person runs it from the menu (Checks → Run) and an agent runs the same check with run_check.
contains) / absent (absent), a number below / above a limitpropose_check. Every step and criterion appears on screen, and only the person can save it (saving runs nothing)A template lives in docs/checks.example.toml.
operations.toml)The list ships empty. Until you write this file, the agent can run nothing.
This is a separate file from the read allowlist (readonly.toml), so that write operations never live in a file called readonly. Telling them apart by name is the point. Put it next to connections.toml.
version = 1
[[operation]] id = "restart-httpd" run = "sudo systemctl restart httpd" description = "restart Apache" max_per_hour = 3
| field | what to write |
|---|---|
id | the only thing the agent may pass. Short, readable |
run | what actually gets typed. The agent cannot compose it |
description | shown on the approval dialog. Words you will understand in six months |
max_per_hour | hourly ceiling. `0` is rejected (there has to be a place it stops) |
become = "ask", the password is dropped here tooA person at the screen does not pass 3–5. They are looking at it. The one exception is the `become = "ask"` password — that is not approval, it is a credential, and the product cannot invent it.
No setting enables these. They are rejected even when present in operations.toml.
sudoers / visudo / authorized_keys.ssh / `id_rs只显示了开头部分;其余内容请在仓库中阅读